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, Marketing and Tourism (MMT) is one of the leading business departments within New Zealand and one of three constituent departments/units in the UC Business School. The School is triple-crown accredited by
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, Marketing and Tourism is one of three constituent departments in the UC Business School and is one of the leading management departments within New Zealand. The School is triple crown accredited by AACSB
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engagement with our learning systems. As a Data Scientist, you will use predictive analytics and data analysis to improve the ACE models, refine the process, and provide valuable insights to drive
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view of online engagement with the University's learning systems. As a Senior Data Scientist, you will use predictive analytics and data analysis to improve the ACE models, refine the process, and
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key projects, curriculum planning, academic operations, and programme reviews. You'll bring your skills in data analysis, reporting, and stakeholder engagement to streamline processes, provide
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composites, soldering, and basic workshop techniques such as drilling, filing, and tapping. Metal trade-based skill (Fabrication) Experience with the operation of Computer Numerically Controlled (CNC
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their effectiveness Excellent organisational, analytical, report writing, and communication skills Proficiency in data analysis, audit tools, and project management software An alignment with our organisation's values
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skills and written English, strong quantitative and data analysis skills, the ability to work creatively in a team environment and independently, and a strong general research background. You will be
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New Zealand setting. Applicants must have a strong laboratory and/or field component to their research, and address basic and/or applied questions, and the ability to work and lead interdisciplinary
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), email platforms, and social media tools. Competence in donor segmentation, data analysis, and using insights to drive decisions and improve campaign outcomes. An alignment with our organisation's values